About dothinker AI nav
dothinker AI nav helps readers choose AI tools by real workflows, not by raw directory volume.
What this site is
dothinker AI nav is a practical AI workflow directory. Tool pages record conservative metadata, while scenario guides explain which tools fit a task, how to combine them, and where human review is required.
What this site is not
dothinker AI nav is not trying to be the largest AI tool database. We prioritize useful workflow pages, source checks, and decision notes over bulk programmatic pages.
How readers should use it
Start with a scenario guide when you know the task, such as code review, App Store copy, RAG knowledge bases, subtitles, or meeting notes. Use tool pages after that to compare fit, risks, pricing posture, source confidence, Chinese-language notes, and alternatives.
Why the directory is workflow-first
AI tools change quickly, and single-feature comparisons often become stale. A workflow page stays useful because it describes the input materials, output expectations, review checkpoints, and failure modes that remain important even when a specific vendor changes its model, plan, or interface.
Publishing standard
Published content should help a reader make a safer decision. We avoid claiming exact pricing, regional availability, compliance status, or product capabilities unless the page points readers back to the official source and explains what still needs manual verification.
Current coverage
The first public version focuses on AI workflow categories that readers commonly compare: writing, coding, image and video production, search, office work, agents, knowledge bases, open-source AI, local LLMs, and free or low-cost tools. Coverage grows when a page can add practical review value, not just another outbound link.
Update rhythm
Tool pages and scenario guides are meant to be revisited when product positioning, official documentation, or workflow risk changes. Older pages should remain conservative when a fact cannot be rechecked, and important changes should create an update path rather than silently replacing reviewed context.
How this page is used
This trust page supports the same editorial boundary used across the directory: readers should know who maintains the page, how claims are reviewed, where commercial incentives may appear, and how mistakes can be corrected. It also helps separate publisher content from functional pages such as search, submission forms, support hubs, or temporary localized mirrors that may stay available without being treated as search-indexed advertising inventory. When policies, vendors, or product capabilities change, these pages should be updated before expanding ads or automated publishing flows, because trust context is part of the user experience, not a footer-only compliance note. The practical test is simple: a reader should be able to understand the site's incentives, correction path, and review standard without guessing how the directory turns submissions and AI-assisted drafts into published pages. That standard also applies before any new ad placement is introduced publicly.